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Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer

PURPOSE: To explore the mechanisms of radiotherapy resistance and search for prognostic biomarkers for prostate cancer. METHODS: The GSE192817 and TCGA PRAD datasets were selected and downloaded from the GEO and UCSC Xena databases. Differential expression and functional annotation analyses were app...

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Autores principales: Wang, Xing, Yu, Jiandi, Wen, Huali, Yan, Junfeng, Peng, Kun, Zhou, Haiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507967/
https://www.ncbi.nlm.nih.gov/pubmed/37726767
http://dx.doi.org/10.1186/s12894-023-01319-1
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author Wang, Xing
Yu, Jiandi
Wen, Huali
Yan, Junfeng
Peng, Kun
Zhou, Haiyong
author_facet Wang, Xing
Yu, Jiandi
Wen, Huali
Yan, Junfeng
Peng, Kun
Zhou, Haiyong
author_sort Wang, Xing
collection PubMed
description PURPOSE: To explore the mechanisms of radiotherapy resistance and search for prognostic biomarkers for prostate cancer. METHODS: The GSE192817 and TCGA PRAD datasets were selected and downloaded from the GEO and UCSC Xena databases. Differential expression and functional annotation analyses were applied to 52 tumour cell samples from GSE192817. Then, the ssGSEA or GSVA algorithms were applied to quantitatively score the biological functional activity of samples in the GSE192817 and TCGA PRAD datasets, combined with specific gene sets collected from the Molecular Signatures Database (MSigDB). Subsequently, the Wilcoxon rank-sum test was used to compare the differences in ssGSEA or GSVA scores among cell types or PRAD patients. Moreover, radiotherapy resistance-associated gene screening was performed on DU145 and PC3 cells (prostate cancer cells), and survival analysis was used to evaluate the efficacy of these genes for predicting the prognosis of PRAD patients. RESULTS: A total of 114 genes that were differentially expressed in more than two different cancer cell types and associated with either sham surgery or radiotherapy treatment (X-ray or photon irradiation) were detected in cancer cells from GSE192817. Comparison of DNA damage-related ssGSEA scores between sham surgery and radiotherapy treatment in prostate cancer cells (DU145 and PC3) showed that photon irradiation was potentially more effective than X-ray treatment. In the TCGA PRAD dataset, patients treated with radiotherapy had much higher “GOBP_CELLULAR_RESPONSE_TO_DNA_DAMAGE_STIMULUS”, “GOBP_G2_DNA_DAMAGE_CHECKPOINT” and “GOBP_INTRA_S_DNA_DAMAGE_CHECKPOINT” GSVA scores, and the Wilcoxon rank-sum test p values were 0.0005, 0.0062 and 0.0800, respectively. Furthermore, SRXN1 was upregulated in DU145 cells (resistant to X-ray irradiation compared to PC3 cells) after radiotherapy treatment, and low SRXN1 expression in patients was beneficial to radiotherapy outcomes. The log-rank test p value for PFS was 0.0072. CONCLUSIONS: Radiotherapy can damage DNA and induce oxidative stress to kill tumour cells. In this study, we found that SRXN1, as an antioxidative stress gene, plays an important role in radiotherapy for prostate cancer treatment, and this gene is also a potential biomarker for predicting the prognosis of patients treated with radiotherapy.
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spelling pubmed-105079672023-09-20 Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer Wang, Xing Yu, Jiandi Wen, Huali Yan, Junfeng Peng, Kun Zhou, Haiyong BMC Urol Research PURPOSE: To explore the mechanisms of radiotherapy resistance and search for prognostic biomarkers for prostate cancer. METHODS: The GSE192817 and TCGA PRAD datasets were selected and downloaded from the GEO and UCSC Xena databases. Differential expression and functional annotation analyses were applied to 52 tumour cell samples from GSE192817. Then, the ssGSEA or GSVA algorithms were applied to quantitatively score the biological functional activity of samples in the GSE192817 and TCGA PRAD datasets, combined with specific gene sets collected from the Molecular Signatures Database (MSigDB). Subsequently, the Wilcoxon rank-sum test was used to compare the differences in ssGSEA or GSVA scores among cell types or PRAD patients. Moreover, radiotherapy resistance-associated gene screening was performed on DU145 and PC3 cells (prostate cancer cells), and survival analysis was used to evaluate the efficacy of these genes for predicting the prognosis of PRAD patients. RESULTS: A total of 114 genes that were differentially expressed in more than two different cancer cell types and associated with either sham surgery or radiotherapy treatment (X-ray or photon irradiation) were detected in cancer cells from GSE192817. Comparison of DNA damage-related ssGSEA scores between sham surgery and radiotherapy treatment in prostate cancer cells (DU145 and PC3) showed that photon irradiation was potentially more effective than X-ray treatment. In the TCGA PRAD dataset, patients treated with radiotherapy had much higher “GOBP_CELLULAR_RESPONSE_TO_DNA_DAMAGE_STIMULUS”, “GOBP_G2_DNA_DAMAGE_CHECKPOINT” and “GOBP_INTRA_S_DNA_DAMAGE_CHECKPOINT” GSVA scores, and the Wilcoxon rank-sum test p values were 0.0005, 0.0062 and 0.0800, respectively. Furthermore, SRXN1 was upregulated in DU145 cells (resistant to X-ray irradiation compared to PC3 cells) after radiotherapy treatment, and low SRXN1 expression in patients was beneficial to radiotherapy outcomes. The log-rank test p value for PFS was 0.0072. CONCLUSIONS: Radiotherapy can damage DNA and induce oxidative stress to kill tumour cells. In this study, we found that SRXN1, as an antioxidative stress gene, plays an important role in radiotherapy for prostate cancer treatment, and this gene is also a potential biomarker for predicting the prognosis of patients treated with radiotherapy. BioMed Central 2023-09-19 /pmc/articles/PMC10507967/ /pubmed/37726767 http://dx.doi.org/10.1186/s12894-023-01319-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Xing
Yu, Jiandi
Wen, Huali
Yan, Junfeng
Peng, Kun
Zhou, Haiyong
Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title_full Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title_fullStr Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title_full_unstemmed Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title_short Antioxidative stress protein SRXN1 can be used as a radiotherapy prognostic marker for prostate cancer
title_sort antioxidative stress protein srxn1 can be used as a radiotherapy prognostic marker for prostate cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507967/
https://www.ncbi.nlm.nih.gov/pubmed/37726767
http://dx.doi.org/10.1186/s12894-023-01319-1
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